AI in Medical Imaging Global Market Report 2024

The AI in medical imaging market size has grown exponentially in recent years. It will grow from $2.07 billion in 2023 to $2.85 billion in 2024 at a compound annual growth rate (CAGR) of 37.6%. The growth observed in the historic period for AI in medical imaging can be attributed to several factors, including the increased volume of medical imaging data, a growing demand for enhanced diagnostic accuracy, a rising burden of chronic diseases, improved workflow efficiency, and increased healthcare expenditure. These factors collectively contributed to the adoption and success of AI technologies in the field of medical imaging during the historical period, addressing the need for more accurate and efficient diagnostic processes in healthcare.

The AI in medical imaging market size is expected to see exponential growth in the next few years. It will grow to $10.34 billion in 2028 at a compound annual growth rate (CAGR) of 37.9%. The anticipated growth in the forecast period for AI in medical imaging can be attributed to various factors, including the integration with electronic health records (EHR), expanding applications in image-guided interventions, the emergence of AI-powered personalized medicine, an increased focus on preventive healthcare, and the global expansion of telemedicine. Key trends expected in the forecast period encompass the development of enhanced imaging modalities with AI, efforts towards interoperability and data sharing, the establishment of regulatory frameworks, increased collaboration within the industry, and a growing emphasis on explainable AI to enhance transparency and trust in the technology.


The increasing integration of AI technology in radiology is poised to serve as a significant driver propelling the AI in medical imaging market in the foreseeable future. Radiology, a medical specialization focusing on diagnosing and treating diseases and injuries using imaging techniques, is witnessing substantial AI adoption. AI applications within medical imaging, particularly in radiology, significantly enhance the interpretation of medical images and streamline radiological workflows. These applications encompass automated image analysis, computer-aided detection, as well as image reconstruction and enhancement, augmenting efficiency and accuracy. For example, an article published by Inside Precision Medicine in February 2023 revealed a noteworthy surge in AI adoption within radiology, escalating to 30% in 2020 compared to preceding years. Additionally, findings from Itransition, a US-based software development company in November 2022, reported that 30% of radiologists incorporated AI into their clinical practices in 2022, with another 20% of practices intending to acquire AI tools in subsequent years. Hence, the burgeoning adoption of AI in radiology is poised to propel the AI in medical imaging market.

The escalating prevalence of chronic diseases stands as a significant catalyst driving the growth trajectory of the AI in medical imaging market. Chronic diseases, persistent medical conditions lasting three months or longer, are increasingly utilizing AI within medical imaging for improved diagnostics, timely interventions, and tailored treatment plans. The integration of advanced image analysis algorithms facilitated by AI aids in early detection, precise characterization, and efficient management of chronic conditions, ultimately aiming for enhanced patient outcomes. For instance, statistics from the World Health Organization (WHO) in September 2023 underscore the global impact of chronic diseases, contributing to 41 million annual deaths, constituting 74% of all fatalities. This includes 17.9 million deaths from cardiovascular diseases, 9.3 million from cancer, 4.1 million from chronic respiratory diseases, and 2.0 million from diabetes. Consequently, the rising incidence of chronic diseases serves as a significant impetus driving the expansion of the AI in medical imaging market.

Advancements in technology stand as pivotal trends making strides within the AI in medical imaging market. Prominent entities in this market segment are actively pioneering innovative technologies to fortify their standing. A notable example is the launch, in November 2022, by Viz.AI Inc., a US-based medical imaging firm, of its AI-powered radiology suite. This cutting-edge technology seamlessly integrates into healthcare organizations' Picture Archiving and Communication Systems (PACS), enabling secure access to imaging data across departments, thereby streamlining patient diagnoses. It boasts distinctive features, including AI-driven alerts that instantaneously notify radiologists of suspected diseases, prioritized worklists aiding radiologists in focusing on urgent cases, and real-time communication tools facilitating collaboration among care team members. This advancement yields improvements in patient outcomes, cost reduction, and enhanced operational efficiency.

Significant players within the AI in medical imaging market are embracing strategic partnerships as a vehicle to expedite the development of AI-powered medical imaging solutions, aiming to bolster image quality and offer real-time clinical decision-making support. Strategic partnerships embody a collaborative process wherein companies leverage each other's strengths and resources, culminating in mutual benefits and success. For instance, in November 2023, L&T Technology Services (LTTS), an India-based engineering services company, forged a partnership with Nvidia Corporation, a US-based technology giant. Their joint objective is to engineer software-defined architectures tailored for endoscopy-oriented medical devices, with a focus on augmenting medical imaging using Generation AI (Gen AI). This collaboration aims to harness the potential of advanced AI to significantly enhance medical imaging capabilities.

In January 2023, Bayer AG, a German pharmaceutical and biotechnology company, successfully acquired Blackford Analysis Ltd. for an undisclosed amount. This strategic acquisition was driven by Bayer AG's objective to advance the development of new AI-powered solutions for medical imaging, with the aim of accelerating the adoption of AI and gaining a competitive edge in the healthcare industry. Blackford Analysis Ltd., based in the UK, is a software company specializing in providing technological solutions for AI in medical imaging.

Major companies operating in the AI in medical imaging market report are Alphabet Inc, Microsoft Corporation, The International Business Machines Corporation, Sanofi, Oracle Corporation, Merative, Medtronic plc, Nvidia Corporation, Siemens Healthineers AG, Koninklijke Philips NV, Stryker, GE HealthCare Technologies Inc., Lunit Inc., DeepMind, Viz.AI Inc., Aidoc, AZmed, Digital Diagnostics Inc., Butterfly Network Inc., Cleerly, Behold.AI, Butterfly Network, Enlitic, Nano-X Imaging Ltd., Arterys, Caption Health, EchoNous Inc., Gleamer, CloudMedX, CellmatiQ GmbH, Mediwhale, dentalXrai GmbH.

North America was the largest region in the AI In medical imaging market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in medical imaging market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the AI in medical imaging market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The primary types of technologies employed in AI in medical imaging include deep learning, natural language processing (NLP), and other related technologies. Deep learning, a subfield of artificial intelligence and machine learning, focuses on training deep neural networks to learn and make predictions or decisions based on extensive datasets. AI in medical imaging encompasses a range of modalities, including computed tomography (CT) scans, magnetic resonance imaging (MRI), X-rays, ultrasound, and nuclear imaging. The applications of AI in medical imaging span various medical fields such as digital pathology, oncology, cardiovascular, neurology, lung (respiratory system), breast (mammography), liver (GI), oral diagnostics, and more. The primary end-users of AI in medical imaging are hospitals, diagnostic imaging centers, and other healthcare facilities.

The AI in medical imaging market research report is one of a series of new reports that provides AI in medical imaging market statistics, including AI in medical imaging industry global market size, regional shares, competitors with AI in medical imaging market share, detailed AI in medical imaging market segments, market trends and opportunities, and any further data you may need to thrive in the AI in medical imaging industry. This AI in medical imaging market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI in the medical imaging market consists of revenues earned by entities by providing computer-aided diagnosis (CAD), image segmentation and annotation, image reconstruction and enhancement, and quantitative image analysis services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the medical imaging market also includes sales of PET scan machines, angiography devices, echocardiogram devices, clinical decision support systems, and imaging modalities which are used in providing AI in medical imaging services. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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